TY  - JOUR
A1  - Fuss, Franz Konstantin
A1  - Düking, Peter
A1  - Weizman, Yehuda
T1  - Discovery of a Sweet Spot on the Foot with a Smart Wearable Soccer Boot Sensor That Maximizes the Chances of Scoring a Curved Kick in Soccer
JF  - Frontiers in Physiology
N2  - This paper provides the evidence of a sweet spot on the boot/foot as well as the method for detecting it with a wearable pressure sensitive device. This study confirmed the hypothesized existence of sweet and dead spots on a soccer boot or foot when kicking a ball. For a stationary curved kick, kicking the ball at the sweet spot maximized the probability of scoring a goal (58–86%), whereas having the impact point at the dead zone minimized the probability (11–22%). The sweet spot was found based on hypothesized favorable parameter ranges (center of pressure in x/y-directions and/or peak impact force) and the dead zone based on hypothesized unfavorable parameter ranges. The sweet spot was rather concentrated, independent of which parameter combination was used (two- or three-parameter combination), whereas the dead zone, located 21 mm from the sweet spot, was more widespread.
KW  - smart soccer boot
KW  - pressure sensor
KW  - sweet spot
KW  - dead spot
KW  - probability of scoring a goal
KW  - center of pressure
KW  - impact force
KW  - wearable technology
Y1  - 2018
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-189126
SN  - 1664-042X
VL  - 9
ER  - 
TY  - JOUR
A1  - Düking, Peter
A1  - Fuss, Franz Konstantin
A1  - Holmberg, Hans-Christer
A1  - Sperlich, Billy
T1  - Recommendations for assessment of the reliability, sensitivity, and validity of data provided by wearable sensors designed for monitoring physical activity
JF  - JMIR Mhealth and Uhealth
N2  - Although it is becoming increasingly popular to monitor parameters related to training, recovery, and health with wearable sensor technology (wearables), scientific evaluation of the reliability, sensitivity, and validity of such data is limited and, where available, has involved a wide variety of approaches. To improve the trustworthiness of data collected by wearables and facilitate comparisons, we have outlined recommendations for standardized evaluation. We discuss the wearable devices themselves, as well as experimental and statistical considerations. Adherence to these recommendations should be beneficial not only for the individual, but also for regulatory organizations and insurance companies.
KW  - internet of things
KW  - activity tracker
KW  - data mining
KW  - load management
KW  - physical activity
KW  - smartwatch
Y1  - 2018
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-176202
VL  - 6
IS  - 4
ER  - 
TY  - JOUR
A1  - Düking, Peter
A1  - Hotho, Andreas
A1  - Holmberg, Hans-Christer
A1  - Fuss, Franz Konstantin
A1  - Sperlich, Billy
T1  - Comparison of Non-Invasive Individual Monitoring of the Training and Health of Athletes with Commercially Available Wearable Technologies
JF  - Frontiers in Physiology
N2  - Athletes adapt their training daily to optimize performance, as well as avoid fatigue, overtraining and other undesirable effects on their health. To optimize training load, each athlete must take his/her own personal objective and subjective characteristics into consideration and an increasing number of wearable technologies (wearables) provide convenient monitoring of various parameters. Accordingly, it is important to help athletes decide which parameters are of primary interest and which wearables can monitor these parameters most effectively. Here, we discuss the wearable technologies available for non-invasive monitoring of various parameters concerning an athlete's training and health. On the basis of these considerations, we suggest directions for future development. Furthermore, we propose that a combination of several wearables is most effective for accessing all relevant parameters, disturbing the athlete as little as possible, and optimizing performance and promoting health.
KW  - sports technology
KW  - wearable technologies
KW  - performance parameters
KW  - health monitoring
KW  - performance monitoring
Y1  - 2016
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-165516
VL  - 7
IS  - 71
ER  -